Calculate model probabilities for the propensity score model...

This function enumerates and fits all possible propensity score models

1 | ```
PS.MA.enumerate(X, U, W = NULL)
``` |

`X` |
vector of the treatment indicator (0/1) |

`U` |
matrix of covariates to be considered for inclusion/exclusion |

`W` |
matrix of covariates that will be included in all models (optional) |

A list. The list contains the following named components:

`dict` |
a list that contains the BIC and estimated propensity scores from propensity score models |

`out.table` |
a matrix that contains the BIC from each propensity score model |

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